A Practical Data-Driven Battery State-of-Health Estimation for Electric Vehicles

In this article, to estimate the battery state of health (SOH) under realistic electric vehicle (EV) conditions, a robust and efficient data-driven algorithm is developed and validated through comprehensive battery life testing. More than 50 state-of-the-art EV battery cells have been tested under a...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 70; H. 2; S. 1973 - 1982
Hauptverfasser:	Khaleghi Rahimian, Saeed, Tang, Yifan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Batteries Battery management system (BMS) battery state of health (SOH) Charging Cycles data-driven algorithms Datasets Driving conditions Electric potential Electric vehicles Estimation Feature extraction Heuristic algorithms Li-ion batteries Neural networks neural networks (NNs) Protocols Rechargeable batteries State of charge Training Voltage
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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